Internet DRAFT - draft-bhuvan-bmwg-sdn-controller-benchmark-term
draft-bhuvan-bmwg-sdn-controller-benchmark-term
Internet-Draft Bhuvaneswaran Vengainathan
Network Working Group Anton Basil
Intended Status: Informational Veryx Technologies
Expires: March 22, 2016 Mark Tassinari
Hewlett-Packard
Vishwas Manral
Ionos Corp
Sarah Banks
VSS Monitoring
September 23, 2015
Terminology for Benchmarking SDN Controller Performance
draft-bhuvan-bmwg-sdn-controller-benchmark-term-01
Abstract
This document defines terminology for benchmarking an SDN
Controller's performance. The terms provided in this document help
to benchmark SDN controller's performance independent of the
controller's supported protocols and/or network services. A
mechanism for benchmarking the performance of SDN controllers is
defined in the companion methodology document. These two documents
provide a standard mechanism to measure and evaluate the performance
of various controller implementations.
Status of this Memo
This Internet-Draft is submitted in full conformance with the
provisions of BCP 78 and BCP 79.
Internet-Drafts are working documents of the Internet Engineering
Task Force (IETF). Note that other groups may also distribute
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Drafts is at http://datatracker.ietf.org/drafts/current.
Internet-Drafts are draft documents valid for a maximum of six
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material or to cite them other than as "work in progress.
This Internet-Draft will expire on March 22, 2016.
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Copyright Notice
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Table of Contents
1. Introduction ................................................ 3
2. Term Definitions ............................................ 4
2.1. SDN Terms .............................................. 4
2.1.1. SDN Node .......................................... 4
2.1.2. SDN Application.................................... 4
2.1.3. Flow .............................................. 4
2.1.4. Northbound Interface............................... 5
2.1.5. Southbound Interface............................... 5
2.1.6. Controller Forwarding Table ....................... 5
2.1.7. Proactive Flow Provisioning Mode .................. 6
2.1.8. Reactive Flow Provisioning Mode ................... 6
2.1.9. Path .............................................. 7
2.1.10. Standalone Mode................................... 7
2.1.11. Cluster/Redundancy Mode........................... 7
2.1.12. Asynchronous Message.............................. 8
2.1.13. Test Traffic Generator............................ 8
2.2. Test Configuration/Setup Terms ......................... 9
2.2.1. Number of SDN Nodes................................ 9
2.2.2. Test Iterations.................................... 9
2.2.3. Test Duration...................................... 9
2.2.4. Number of Cluster nodes ........................... 10
2.3. Benchmarking Terms ..................................... 10
2.3.1. Performance ....................................... 10
2.3.1.1. Network Topology Discovery Time .............. 10
2.3.1.2. Asynchronous Message Processing Time.......... 11
2.3.1.3. Asynchronous Message Processing Rate.......... 11
2.3.1.4. Reactive Path Provisioning Time .............. 12
2.3.1.5. Proactive Path Provisioning Time ............. 12
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2.3.1.6. Reactive Path Provisioning Rate .............. 13
2.3.1.7. Proactive Path Provisioning Rate ............. 13
2.3.1.8. Network Topology Change Detection Time........ 13
2.3.2. Scalability ....................................... 14
2.3.2.1. Control Sessions Capacity .................... 14
2.3.2.2. Network Discovery Size ....................... 14
2.3.2.3. Forwarding Table Capacity .................... 15
2.3.3. Security ......................................... 15
2.3.3.1. Exception Handling ........................... 15
2.3.3.2. Denial of Service Handling ................... 16
2.3.4. Reliability ....................................... 16
2.3.4.1. Controller Failover Time ..................... 16
2.3.4.2. Network Re-Provisioning Time ................. 17
3. Test Coverage .............................................. 17
4. References ................................................. 18
4.1. Normative References ................................... 18
4.2. Informative References ................................ 19
5. IANA Considerations ........................................ 19
6. Security Considerations ..................................... 19
7. Acknowledgements ........................................... 19
8. Authors' Addresses ......................................... 19
1. Introduction
Software Defined Networking (SDN) is a networking architecture in
which network control is decoupled from the underlying forwarding
function and is placed in a centralized location called the SDN
controller. The SDN controller abstracts the underlying network and
offers a global view of the overall network to applications and
business logic. Thus, an SDN controller provides the flexibility to
program, control, and manage network behaviour dynamically through
standard interfaces. Since the network controls are logically
centralized, the need to benchmark the SDN controller performance
becomes significant. This document defines terms to benchmark
various controller designs for performance, scalability, reliability
and security, independent of northbound and southbound protocols.
Conventions used in this document
The key words "MUST", "MUST NOT", "REQUIRED", "SHALL", "SHALL NOT",
"SHOULD", "SHOULD NOT", "RECOMMENDED", "MAY", and "OPTIONAL" in this
document are to be interpreted as described in RFC 2119.
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2. Term Definitions
2.1. SDN Terms
2.1.1. SDN Node
Definition:
An SDN node is an emulated/simulated entity that forwards data in a
software defined environment.
Discussion:
An SDN node can be an emulated/simulated switch, router, gateway, or
any network service appliance that supports standardized or
proprietary programmable interface.
Measurement Units:
N/A
See Also:
None
2.1.2. SDN Application
Definition:
Any business logic that alter the network behaviour dynamically
through controller's northbound interface.
Discussion:
SDN application can be any business application, cloud orchestration
system, network services orchestration etc.,
Measurement Units:
N/A
See Also:
None
2.1.3. Flow
Definition:
A flow is a uni-directional sequence of packets having common
properties derived from the data contained in the packet.
Discussion:
A flow can be set of packets having same source address, destination
address, source port and destination port, or any of these
combinations.
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Measurement Units:
N/A
See Also:
None
2.1.4. Northbound Interface
Definition:
The northbound interface is the application programming interface
provided by the SDN controller for the SDN services and applications
to interact with the SDN controller.
Discussion:
The northbound interface allows SDN applications and orchestration
systems to program and retrieve the network information through the
SDN controller.
Measurement Units:
N/A
See Also:
None
2.1.5. Southbound Interface
Definition:
The southbound interface is the application programming interface
provided by the SDN controller to interact with the SDN nodes.
Discussion:
Southbound interface enables controller to interact with the SDN
nodes in the infrastructure for dynamically defining the traffic
forwarding behaviour.
Measurement Units:
N/A
See Also:
None
2.1.6. Controller Forwarding Table
Definition:
A controller forwarding table contains flow entries learned in one
of two ways: first, entries could be learned from traffic received
through the data plane, or, second, these entries could be
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statically provisioned on the controller, and distributed to devices
via the southbound interface.
Discussion:
The controller forwarding table has an aging mechanism which will be
applied only for dynamically learnt entries.
Measurement Units:
N/A
See Also:
None
2.1.7. Proactive Flow Provisioning Mode
Definition:
Controller programming flows in SDN nodes based on the flow entries
provisioned through controller's northbound interface.
Discussion:
Orchestration systems and SDN applications can define the network
forwarding behaviour by programming the controller using proactive
flow provisioning. The controller can then program the SDN nodes
with the pre-provisioned entries.
Measurement Units:
N/A
See Also:
None
2.1.8. Reactive Flow Provisioning Mode
Definition:
Controller programming flows in SDN nodes based on the traffic
received from SDN nodes through controller's southbound interface
Discussion:
The SDN controller dynamically decides the forwarding behaviour
based on the incoming traffic from the SDN nodes. The controller
then programs the SDN nodes using Reactive Flow Provisioning.
Measurement Units:
N/A
See Also:
None
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2.1.9. Path
Definition:
A path is a sequence of SDN nodes and links traversed by a flow.
Discussion:
As defined in RFC 2330, path is a sequence of the form < h0, l1, h1,
..., ln, hn >, where n >=0, h0 and hn is a Host, h1...hn-1 is an SDN
Node, each li is a link between hi-1 and hi. A pair <li, hi> is
termed a 'hop'. Note that path is a unidirectional concept.
Measurement Units:
N/A
See Also:
None
2.1.10. Standalone Mode
Definition:
Single controller handling all control plane functionalities without
redundancy, or the ability to provide high availability and/or
automatic failover.
Discussion:
In standalone mode, one controller manages one or more network
domains.
Measurement Units:
N/A
See Also:
None
2.1.11. Cluster/Redundancy Mode
Definition:
A group of 2 or more controllers handling all control plane
functionalities.
Discussion:
In cluster mode, multiple controllers are teamed together for the
purpose of load sharing and/or high availability. The controllers in
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the group may work in active/standby (master/slave) or active/active
(equal) mode depending on the intended purpose.
Measurement Units:
N/A
See Also:
None
2.1.12. Asynchronous Message
Definition:
Any message from the SDN node that is generated for network events.
Discussion:
Control messages like flow setup request and response message is
classified as asynchronous message. The controller has to return a
response message. Note that the SDN node will not be in blocking
mode and continues to send/receive other control messages
Measurement Units:
N/A
See Also:
None
2.1.13. Test Traffic Generator
Definition:
Test Traffic Generator is an entity that generates/receives network
traffic.
Discussion:
Test Traffic Generator can be an entity that interfaces with SDN
Nodes to send/receive real-time network traffic.
Measurement Units:
N/A
See Also:
None
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2.2. Test Configuration/Setup Terms
2.2.1. Number of SDN Nodes
Definition:
The number of SDN nodes present in the defined test topology.
Discussion:
The SDN nodes defined in the test topology can be deployed using
real hardware or emulated in hardware platforms.
Measurement Units:
N/A
See Also:
None
2.2.2. Test Iterations
Definition:
The number of times the test needs to be repeated.
Discussion:
The test needs to be repeated for multiple iterations to obtain a
reliable metric. It is recommended that this test SHOULD be
performed for at least 10 iterations to increase the confidence in
measured result.
Measurement Units:
N/A
See Also:
None
2.2.3. Test Duration
Definition:
Defines the duration of test trails for each iteration.
Discussion:
Test duration forms the basis for stop criteria for benchmarking
tests. Test not completed within this time interval is considered as
incomplete.
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Measurement Units:
seconds
See Also:
None
2.2.4. Number of Cluster nodes
Definition:
Defines the number of controllers present in the controller cluster.
Discussion:
This parameter is relevant when testing the controller performance
in clustering/teaming mode. The number of nodes in the cluster MUST
be greater than 1.
Measurement Units:
N/A
See Also:
None
2.3. Benchmarking Terms
This section defines metrics for benchmarking the SDN controller.
The procedure to perform the defined metrics is defined in the
accompanying methodology document.
2.3.1. Performance
2.3.1.1. Network Topology Discovery Time
Definition:
To measure the time taken to discover the network topology - nodes
and links by a controller.
Discussion:
Network topology discovery is key for the SDN controller to
provision and manage the network. So it is important to measure how
quickly the controller discovers the topology to learn the current
network state. This benchmark is obtained by presenting a network
topology (Tree, Mesh or Linear) with the given number of nodes to
the controller and wait for the discovery process to complete .It is
expected that the controller supports network discovery mechanism
and uses protocol messages for its discovery process.
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Measurement Units:
milliseconds
See Also:
None
2.3.1.2. Asynchronous Message Processing Time
Definition:
To measure the time taken by the controller to process an
asynchronous message.
Discussion:
For SDN to support dynamic network provisioning, it is important to
measure how quickly the controller responds to an event triggered
from the network. The event could be any notification messages
generated by an SDN node upon arrival of a new flow, link down etc.
This benchmark is obtained by sending asynchronous messages from
every connected SDN nodes one at a time for the defined test
duration. This test assumes that the controller will respond to the
received asynchronous message.
Measurement Units:
milliseconds
See Also:
None
2.3.1.3. Asynchronous Message Processing Rate
Definition:
To measure the maximum number of asynchronous messages that a
controller can process within the test duration.
Discussion:
As SDN assures flexible network and agile provisioning, it is
important to measure how many network events that the controller can
handle at a time. This benchmark is obtained by sending asynchronous
messages from every connected SDN nodes at full connection capacity
for the given test duration. This test assumes that the controller
will respond to all the received asynchronous messages.
Measurement Units:
Messages processed per second.
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See Also:
None
2.3.1.4. Reactive Path Provisioning Time
Definition:
The time taken by the controller to setup a path reactively between
source and destination node, expressed in milliseconds.
Discussion:
As SDN supports agile provisioning, it is important to measure how
fast that the controller provisions an end-to-end flow in the
dataplane. The benchmark is obtained by sending traffic from a
source endpoint to the destination endpoint, finding the time
difference between the first and the last flow provisioning message
exchanged between the controller and the SDN nodes for the traffic
path.
Measurement Units:
milliseconds.
See Also:
None
2.3.1.5. Proactive Path Provisioning Time
Definition:
The time taken by the controller to setup a path proactively between
source and destination node, expressed in milliseconds.
Discussion:
For SDN to support pre-provisioning of traffic path from
application, it is important to measure how fast that the controller
provisions an end-to-end flow in the dataplane. The benchmark is
obtained by provisioning a flow on controller's northbound interface
for the traffic to reach from a source to a destination endpoint,
finding the time difference between the first and the last flow
provisioning message exchanged between the controller and the SDN
nodes for the traffic path.
Measurement Units:
milliseconds.
See Also:
None
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2.3.1.6. Reactive Path Provisioning Rate
Definition:
Measure the maximum number of independent paths a controller can
concurrently establish between source and destination nodes
reactively within the test duration, expressed in paths per second.
Discussion:
For SDN to support agile traffic forwarding, it is important to
measure how many end-to-end flows that the controller could setup in
the dataplane. This benchmark is obtained by sending traffic each
with unique source and destination pairs from the source SDN node
and determine the number of frames received at the destination SDN
node.
Measurement Units:
Paths provisioned per second.
See Also:
None
2.3.1.7. Proactive Path Provisioning Rate
Definition:
Measure the maximum number of independent paths a controller can
concurrently establish between source and destination nodes
proactively within the test duration, expressed in paths per second.
Discussion:
For SDN to support pre-provisioning of traffic path for a larger
network from the application, it is important to measure how many
end-to-end flows that the controller could setup in the dataplane.
This benchmark is obtained by sending traffic each with unique
source and destination pairs from the source SDN node. Program the
flows on controller's northbound interface for traffic to reach from
each of the unique source and destination pairs and determine the
number of frames received at the destination SDN node.
Measurement Units:
Paths provisioned per second.
See Also:
None
2.3.1.8. Network Topology Change Detection Time
Definition:
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The amount of time required for the controller to detect any changes
in the network topology.
Discussion:
In order to for the controller to support fast network failure
recovery, it is critical to measure how fast the controller is able
to detect any network-state change events. This benchmark is
obtained by triggering a topology change event and measuring the
time controller takes to detect and initiate a topology re-discovery
process.
Measurement Units:
milliseconds
See Also:
None
2.3.2. Scalability
2.3.2.1. Control Sessions Capacity
Definition:
To measure the maximum number of control sessions the controller
can maintain.
Discussion:
Measuring the controller's control sessions capacity is important to
determine the controller's system and bandwidth resource
requirements. This benchmark is obtained by establishing control
session with the controller from each of the SDN node until it
fails. The number of sessions that were successfully established
will provide the Control Sessions Capacity.
Measurement Units:
N/A
See Also:
None
2.3.2.2. Network Discovery Size
Definition:
To measure the network size (number of nodes, links and hosts) that
a controller can discover.
Discussion:
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For optimal network planning, it is key to measure the maximum
network size that the controller can discover. This benchmark is
obtained by presenting an initial set of SDN nodes for discovery to
the controller. Based on the initial discovery, the number of SDN
nodes is increased or decreased to determine the maximum nodes that
the controller can discover.
Measurement Units:
N/A
See Also:
None
2.3.2.3. Forwarding Table Capacity
Definition:
The maximum number of flow entries that a controller can manage in
its Forwarding table.
Discussion:
It is significant to measure the capacity of controller's Forwarding
Table to determine the number of flows that controller could forward
without flooding/dropping. This benchmark is obtained by
continuously presenting the controller with new flow entries through
reactive or proactive flow provisioning mode until the forwarding
table becomes full. The maximum number of nodes that the controller
can hold in its Forwarding Table will provide Forwarding Table
Capacity.
Measurement Units:
Maximum number of flow entries managed.
See Also:
None
2.3.3. Security
2.3.3.1. Exception Handling
Definition:
To determine the effect of handling error packets and notifications
on performance tests.
Discussion:
This benchmark test is to be performed after obtaining the baseline
performance of the performance tests defined in Section 2.3.1. This
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benchmark determines the deviation from the baseline performance due
to the handling of error or failure messages from the connected SDN
nodes.
Measurement Units:
N/A
See Also:
None
2.3.3.2. Denial of Service Handling
Definition:
To determine the effect of handling denial of service (DoS) attacks
on performance and scalability tests.
Discussion:
This benchmark test is to be performed after obtaining the baseline
performance of the performance and scalability tests defined in
section 2.3.1 and section 2.3.1.. This benchmark determines the
deviation from the baseline performance due to the handling of
denial of service attacks on controller.
Measurement Units:
Deviation of baseline metrics while handling Denial of Service
Attacks.
See Also:
None
2.3.4. Reliability
2.3.4.1. Controller Failover Time
Definition:
The time taken to switch from an active controller to the backup
controller, when the controllers work in redundancy mode and the
active controller fails.
Discussion:
This benchmark determine the impact of provisioning new flows when
controllers are teamed and the active controller fails.
Measurement Units:
milliseconds.
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See Also:
None
2.3.4.2. Network Re-Provisioning Time
Definition:
The time taken to re-route the traffic by the Controller, when there
is a failure in existing traffic paths.
Discussion:
This benchmark determines the controller's re-provisioning ability
upon network failures. This benchmark test assumes the following:
i. Network topology supports redundant path between
source and destination endpoints.
ii. Controller does not pre-provision the redundant path.
Measurement Units:
milliseconds.
See Also:
None
3. Test Coverage
+ -----------------------------------------------------------------+
| | Speed | Scalability | Reliability |
+ -----------+-------------------+---------------+-----------------+
| | 1. Network Topolo-|1. Network | |
| | -gy Discovery | Discovery | |
| | | Size | |
| | 2. Reactive Path | | |
| | Provisioning | | |
| | Time | | |
| | | | |
| | 3. Proactive Path | | |
| | Provisioning | | |
| Setup | Time | | |
| | | | |
| | 4. Reactive Path | | |
| | Provisioning | | |
| | Rate | | |
| | | | |
| | 5. Proactive Path | | |
| | Provisioning | | |
| | Rate | | |
| | | | |
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+------------+-------------------+---------------+-----------------+
| | 1. Asynchronous |1. Control |1. Network |
| | Message Proces-| Sessions | Topology |
| | -sing Rate | Capacity | Change |
| | | | Detection Time|
| | 2. Asynchronous |2. Forwarding | |
| | Message Proces-| Table |2. Exception |
| | -sing Time | Capacity | Handling |
| Operational| | | |
| | | |3. Denial of |
| | | | Service |
| | | | Handling |
| | | | |
| | | |4. Network Re- |
| | | | Provisioning |
| | | | Time |
| | | | |
+------------+-------------------+---------------+-----------------+
| | | | |
| Tear Down | | |1. Controller |
| | | | Failover Time |
+------------+-------------------+---------------+-----------------+
4. References
4.1. Normative References
[RFC2330] V. Paxson, G. Almes, J. Mahdavi, M. Mathis,
"Framework for IP Performance Metrics",RFC 2330,
May 1998.
[RFC6241] R. Enns, M. Bjorklund, J. Schoenwaelder, A. Bierman,
"Network Configuration Protocol (NETCONF)",RFC 6241,
June 2011.
[RFC6020] M. Bjorklund, "YANG - A Data Modeling Language for
the Network Configuration Protocol (NETCONF)", RFC 6020,
October 2010
[RFC5440] JP. Vasseur, JL. Le Roux, "Path Computation Element (PCE)
Communication Protocol (PCEP)", RFC 5440, March 2009.
[OpenFlow Switch Specification] ONF,"OpenFlow Switch Specification"
Version 1.4.0 (Wire Protocol 0x05), October 14, 2013.
[I-D.sdn-controller-benchmark-meth] Bhuvaneswaran.V, Anton Basil,
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Mark.T, Vishwas Manral, Sarah Banks "Benchmarking
Methodology for SDN Controller Performance",
draft-bhuvan-bmwg-sdn-controller-benchmark-meth-01
(Work in progress), July 19, 2015
4.2. Informative References
[OpenContrail] Ankur Singla, Bruno Rijsman, "OpenContrail
Architecture Documentation",
http://opencontrail.org/opencontrail-architecture-documentation
[OpenDaylight] OpenDaylight Controller:Architectural Framework,
https://wiki.opendaylight.org/view/OpenDaylight_Controller
5. IANA Considerations
This document does not have any IANA requests.
6. Security Considerations
Security issues are not discussed in this memo.
7. Acknowledgements
The authors would like to acknowledge Sandeep Gangadharan (HP) for
the significant contributions to the earlier versions of this
document. The authors would like to thank the following individuals
for providing their valuable comments to the earlier versions of
this document: Al Morton (AT&T), M. Georgescu (NAIST), Andrew
McGregor (Google), Scott Bradner (Harvard University), Jay Karthik
(Cisco), Ramakrishnan (Brocade), Khasanov Boris (Huawei).
8. Authors' Addresses
Bhuvaneswaran Vengainathan
Veryx Technologies Inc.
1 International Plaza, Suite 550
Philadelphia
PA 19113
Email: bhuvaneswaran.vengainathan@veryxtech.com
Anton Basil
Veryx Technologies Inc.
1 International Plaza, Suite 550
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Philadelphia
PA 19113
Email: anton.basil@veryxtech.com
Mark Tassinari
Hewlett-Packard,
8000 Foothills Blvd,
Roseville, CA 95747
Email: mark.tassinari@hp.com
Vishwas Manral
Ionos Corp,
4100 Moorpark Ave,
San Jose, CA
Email: vishwas@ionosnetworks.com
Sarah Banks
VSS Monitoring
Email: sbanks@encrypted.net
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